ChatGPT 금일 업데이트 1. 배포 및 모델 변경 사항 - Free / Go 사용자: 일상 대화용 신규 기본 모델 적용 (기존 GPT-5.5 Instant 대체). - Plus / Pro 사용자: GPT-5.6 Sol (8월 버전) 적용 및 응답의 추론 강도(Effort)를 조절하는 슬라이더 기능 추가. - Codex / Work 사용자: 기존 배포된 7월 버전(GPT-5.6 Sol / Luna) 유지. 2. 핵심 성능 개선 (의료 및 환각 감소) - 의료·임상 지능 (HealthBench) 모든 평가 영역에서 향상. 특히 전문 의료인 대상 고난도 질의(Professional)에서 대폭 상향 - 환각(Hallucination) 감소 GPT-5.6 Sol: 의료·법률·금융 등 고위험 영역 및 사실성 중심 질의에서 사실적 오류율 약 60%…

Channel
나의 문어 선생님 (AI & 마케팅)
@nimdaltg
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
243subscribers
+29 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002622524146 |
|---|---|
| Type | Channel |
| Username | @nimdaltg |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/nimdaltg |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 14:27 | 243 | +29 |
| 7 Aug 2026, 03:32 | 214 | no change |
| 6 Aug 2026, 03:23 | 214 | first reading |
Engagement
18 posts held, back to 30 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 120.3%
- avg views ÷ 243 subscribers
- Avg views / post
- 292
- 18 posts measured
- Reaction rate
- 0.816%
- reactions ÷ views · ER floor
- Posts in window
- 18
- of 18 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 4 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 18 (30 July 2026 – 6 August 2026) |
| Views total | 5,260 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 03:32 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
5 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 60.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤🔥 | 3 | 60.0% | |
| ❤ | 2 | 40.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 4 of the 18 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 30 July 2026 to 6 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
OpenAI, Codex 리셋권 판다는데요? Pro 80불 / 50불 Pro Lite 40불 / 25불 Plus 8불 / 5불 저렴한건 아마 50% 리셋이지않을까 싶네요 https://x.com/btibor91/status/2085352903339102715
Astra가 다음주에 출시한다고….???? https://x.com/synthwavedd/status/2085365276640702915?s=46
Clusy, Kimi K3 무료 데이터 분석, 모델 학습 플랫폼 Clusy에서 Kimi 3를 한시적으로 무료로 사용가능하게 해줬네요. 바이브코더 입장에선 코드만 뽑아서 복붙하는 식으로 쓸 수 있을 듯. 업무에 활용할 툴도 만들어보는 중인데, 코덱스 한도 리셋 될 때까지 이거나 갖고 놀아야겠네요 무료 사용기간은 2026년 8월 9일 오후 3:59 KST 까지 https://app.clusy.io/
❤🔥2
벤치는 의미없다고 생각하는 편인데, 그럼에도 불구하고 후발주자들의 발전은 정말 빠르네요. 키미, 딥싴에 이어 뮤즈 스파크까지 ㄷㄷ Gemini 3.5 Pro <- 얜 대체 뭐지?
OpenAI, 7월 업데이트 정리 - GPT-5.6, ChatGPT, Codex, API 출시 - GPT-5.6 Luna, Terra 가격 인하 + API에서 GPT-5.6 Sol의 Fast 모드 추가 - API 프로젝트에 하드 사용량 한도(spend limits) 설정 가능 - Codex & ChatGPT, 하나의 데스크톱 앱으로 통합 - Codex에서 PR 리뷰 + 후속 수정 가능 - Codex Code Review가 AGENTS.md의 커스텀 레포 규칙 지원 - 관련 폴더들을 하나의 Codex 프로젝트로 묶을 수 있음 - 새로운 Activity 뷰로 업데이트 추적 Codex와 ChatGPT Work에 더 많은 브라우저 컨텍스트 제공 - Codex에서 이미지 생성 후 lightbox와 canvas로 편집 가능 - Codex Securit…
❤2
Codex 유저 호재뜸 fast + SOL + ULTRA (or xhigh)
@faker @degen 득템
Gemini 3.5 Pro, 8/12 출시 거피셜인듯. 5.6 SOL, Fable5 에 여전히 못미친다고 하니 딱히 기대는... 그나마 남들에 비해 떨어지지 않았던게 프론트 였는데, 출시하면 이거 테스트나 해보면 좋을듯요
❤🔥1
코덱스 우선순위 필터가 최근에 업데이트 됐는데, 굉장히 유용하게 잘 쓰는 중이에요. 작업 환경 상 원격으로 여러 컴퓨터를 연결해서 작업을 자주하는 편인데, 일일이 프로젝트 폴더 뒤져가면서 세션 돌아가는거 찾기 힘들었는데, 한번에 쫙 정리해주니 너무좋네요 .
Gemini 3.5 Pro, 8/10 출시 유력 출처는 불법도박사이트
GPT-6 는 다음 달 9월 초 출시 예정 모델 이름은 Astra
Showing the 12 most recent of 18 posts we hold for @nimdaltg. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank — 211,989 of 1,480,975entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 14 August 2026 — this entry's latest reading, not the date you are reading this.
“나의 문어 선생님 (AI & 마케팅)” (@nimdaltg), 243 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/nimdaltg.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.